面向服务组合质量的物联网绿色能源管理

doi:10.11959/j.issn.1000-0801.2017268

Abstract

Abstract:

With the rapid development of internet of things technology,the energy consumption of service composition in the internet of things is a key issue to be studied.The service composition problem in the internet of things mostly focuses on the evaluation based on quality of service(QoS) at present and ignores the overall enerqy cornsumption during the dynamic deployment of service qrnposition.Therefore,a QoS evaluation model and an energy evaluation model was proposed for service composition in the internet of things.Finally,considering the service composition in the internet of things is NP hard,the moth-flame optimization (MFO) was successfully applied to the QoS evaluation model and the energy evaluation model.The experimental results show that MFO has a better optimization effect in the above model,so as to realize the green energy management of the quality of service composition in the environment of the internet of things.

Key words: internet of things, quality of service composition, green energy management, quality of service

CLC Number:

TP315

Chong GUO,Wenqing YAN,Bin XU. Green energy management in internet of things based on quality of service composition[J]. Telecommunications Science, 2017, 33(10): 34-42.

Figures/Tables 8

QoS指标	计算规则	函数
T、C	sum	$\sum_{s_{i}^{j} \in x} q (S_{i}^{j})$
R	product	$\prod_{s_{i}^{j} \in x} q (S_{i}^{j})$

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飞蛾算法	服务组合优化问题
飞蛾种群维度	服务类别数目
飞蛾位置	服务组合的解
最佳适应度值的解	最优服务组合的解
最佳适应度值	服务组合的最佳QoS

飞蛾算法	能源评估优化问题
飞蛾种群维度	能源类别数目
飞蛾种群规模	候选能源数目
最佳适应度值的解	最低能源消耗的解
最佳适应度值	最低能源消耗

Green energy management in internet of things based on quality of service composition

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